Senior Full Stack AI/ML Engineer

Who we are :

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.

Archipelago Analytics is a fast growing start-up working to revolutionize the quality of commercial property risk data and how it can be leveraged.

Archipelago was founded in 2018 by tech and finance entrepreneurial veterans with previous leadership at RMS and Apple. We are internationally diverse and headquartered in San Francisco with additional offices in New York, India, and the Netherlands.

NOTE : Hybrid role required to be in our New York City, New York Office at least 2 days a week or in San Francisco, CA.

Who you are :

Archipelago is seeking a Senior Full Stack AI / ML Engineer to join our growing labs team to work on Gen AI systems. We are looking for a ML engineer who is comfortable with working with full stack development.

From building models that run in an extraction pipeline to UIs that test and evaluate the results of experiments. We iterate quickly, ship every day, build for the long term, and are looking for smart, independent engineers who want to apply their trade with like-minded people.

Responsibilities :

• Designing and developing machine learning and deep learning systems
• Building RAG pipelines with LLMs
• Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback
• Implementing appropriate ML algorithms
• Orchestration of long running jobs for data extraction
• Building UIs to test & evaluate results of ML experiments
• Translate research papers into high-quality, production-ready code
• Ship code to production frequently
• Coach and mentor more junior engineers

Qualifications :

• 5+ years experience as a Machine Learning Engineer or similar role
• Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex)
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python
• Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost)
• Knowledge of how to deploy and maintain ML services in a production environment
• Experience in designing and deploying feature engineering pipelines in production
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

Bonus Points :

• Experience building data ingestion pipelines
• Experience with vector databases (e.g. qdrant)
• Familiarity with orchestration frameworks like Luigi or Flyte
• Familiarity with gradio or streamlit
• Experience building applications for the insurance industry

What success looks like in 12 months :

• Deploy a STP data extraction pipeline which extracts data from PDFs using LLMs
• Build models that implement pattern recognition and data extraction
• Design and implement a framework for backtesting the results of ML experiments
• Build a Gen AI driven copilot chatbot for interacting with documents

Benefits :

We offer benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• Company Equity Program
• Medical, dental, vision and life insurance
• Flexible Time Off
• Mental Health programs
• Remote Office Reimbursement
• All benefits are subject to change at management’s discretion.

Salary Range in SF / NY : $120,000 - $150,000

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply.

All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

J-18808-Ljbffr